Professional Certificate in Model Analysis for Data Engineers
-- ViewingNowThe Professional Certificate in Model Analysis for Data Engineers is a crucial course designed to meet the growing industry demand for professionals who can build, implement, and maintain machine learning models. This program equips learners with essential skills to analyze and interpret models, enabling organizations to make data-driven decisions.
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โข Introduction to Model Analysis: Fundamentals of model analysis, understanding the importance of model analysis in data engineering.
โข Data Preparation for Model Analysis: Data preprocessing, data cleaning, feature engineering, data normalization.
โข Understanding Model Evaluation Metrics: Confusion matrix, accuracy, precision, recall, F1 score, ROC curve, AUC.
โข Model Validation Techniques: Cross-validation, bootstrapping, hypothesis testing.
โข Model Selection and Tuning: Model selection criteria, hyperparameter tuning, grid search, random search.
โข Bias-Variance Tradeoff: Understanding bias and variance, regularization techniques, L1 and L2 regularization.
โข Overfitting and Underfitting: Recognizing overfitting and underfitting, techniques to prevent overfitting.
โข Model Interpretation and Visualization: Model interpretation, partial dependence plots, SHAP values.
โข Model Deployment and Monitoring: Model deployment, monitoring, and maintenance strategies.
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